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Web mining: Machine learning for web applications

Hsinchun Chen, Michael Chau
2005 Annual Review of Information Science and Technology  
Because the genetic algorithm approach is an optimization process, it is well-suited to finding the best Web pages according to particular criteria.  ...  Chang and Lui (2001) used a PAT tree to construct automatically a set of rules for information extraction.  ... 
doi:10.1002/aris.1440380107 fatcat:wdqwbszj7valbnyjfysbb4ap4y

A recommender system using GA K-means clustering in an online shopping market

2008 Expert systems with applications  
A Recommender system is one of the best web usage mining Application which reduces the difficulties faced by the users to meet their requirements .It recommends the pages of interest to the user.  ...  The World Wide Web contains an increasing amount of websites which in turn contains increasing number of web pages.  ...  Future work aims at extending this framework by using it as a pre-processing tool for the web page recommendation system.  ... 
doi:10.1016/j.eswa.2006.12.025 fatcat:ljugfgranvbljf62i2zr5o6nui

Towards ontology-based semantic web from data-intensive web: A reverse engineering approach

S.M. Benslimane, M. Malki, A. Lehirech
2006 IEEE International Conference on Computer Systems and Applications, 2006.  
In this context we try to propose a novel and integrated approach for migrating data-intensive web into ontology-based semantic web and thus, make the web content machine-understandable.  ...  The next generation of the web, the semantic web, seeks to make information more usable by machines by introducing a more rigorous structure based on ontology.  ...  OWL is designed for using by applications that need to process the content of information instead of just presenting information to humans.  ... 
doi:10.1109/aiccsa.2006.205177 dblp:conf/aiccsa/BenslimaneML06 fatcat:zugmnlzsavfcbg6iomnqtbn2re

E-Service Intelligence: An Introduction [chapter]

Jie Lu, Da Ruan, Guangquan Zhang
2007 Studies in Computational Intelligence  
e-government, e-business, e-commerce, e-market, e-finance, and e-learning systems, to name a few.  ...  mining, online searching/data retrieval, and various web-based support systems.  ...  Abraham and Ramos (2003) proposed an ant clustering algorithm to discover web usage patterns (data clusters) and a linear genetic programming approach to analyze the visitor trends.  ... 
doi:10.1007/978-3-540-37017-8_1 fatcat:wdrvcikn5fagbit4fkp7ma6nvm

Extracting Users'Navigational Behavior from Web Log Data: a Survey

Maryam Jafari, Farzad SoleymaniSabzchi, Shahram Jamali
2013 Journal of Computer Sciences and Applications  
Web Usage Mining (WUM) is a kind of data mining method that can be used to discover user access patterns from Web log data.  ...  This paper presents a survey on some of the existing WUM techniques and it is shown that how WUM can be applied to Web server logs.  ...  Abraham and Ramos proposed an ant clustering algorithm to discover Web usage patterns (data clusters) and a linear genetic programming approach to analyze the visitor trends [15] .  ... 
doi:10.12691/jcsa-1-3-3 fatcat:byfdeaijaffz5lhjdmnbq4irdu

Statistical techniques for online personalized advertising

Maad Shatnawi, Nader Mohamed
2012 Proceedings of the 27th Annual ACM Symposium on Applied Computing - SAC '12  
Online advertising is the major source of revenue for most web service providers.  ...  Online Advertisement systems use web mining and machine learning techniques to personalize advertisement selection to a particular user based on certain features such as his browsing behavior or demographic  ...  [23] proposed a framework based on Genetic Programming (GP) to associate ads with the contents of web pages.  ... 
doi:10.1145/2245276.2245406 dblp:conf/sac/ShatnawiM12 fatcat:d5dwrezjqrcpfjn6xzoxx3ljoe

Extraction of Web Usage Profiles using Simulated Annealing Based Biclustering Approach [article]

R. Rathipriya, K. Thangavel
2014 arXiv   pre-print
In this paper, the Simulated Annealing (SA) based biclustering approach is proposed in which SA is used as an optimization tool for biclustering of web usage data to identify the optimal user profile from  ...  Extracted biclusters are consists of correlated users whose usage behaviors are similar across the subset of web pages of a web site where as these users are uncorrelated for remaining pages of a web site  ...  An improved web page prediction accuracy by using a novel approach that involves integrating clustering, association rules and Markov models based on certain constraints has been presented in Forsat (  ... 
arXiv:1412.8099v1 fatcat:casnbtmdizcuhnrt6fpzr6lpke

A New Profile Learning Model for Recommendation System based on Machine Learning Technique

Shereen H Ali, Ali I El Desouky
2016 Journal of Information Technology & Software Engineering  
Citation: Ali SH, Desouky AIE, Saleh AI (2016) A New Profile Learning Model for Recommendation System based on Machine Learning Technique. J Inform Tech Softw Eng 6: 170.  ...  The prototype system, called LIBRA (Learning Intelligent Book Recommending Agent), uses a database of book information extracted from web pages at  ...  Clustering has been employed for user profile learning in different recommendation systems. An approach to recommender systems based on clustering methods is introduced [6] .  ... 
doi:10.4172/2165-7866.1000170 fatcat:4kvgmxceabaihmsgxxutesvepy

Web mining in soft computing framework: relevance, state of the art and future directions

S.K. Pal, V. Talwar, P. Mitra
2002 IEEE Transactions on Neural Networks  
Scope for future research in developing "soft web mining" systems is explained. An extensive bibliography is also provided.  ...  The reason for considering web mining, a separate field from data mining, is explained.  ...  Information is derived by extracting rules from KBNNs [62] . In order to map large sized web pages into fixed-sized NNs, a concept of sliding window is used.  ... 
doi:10.1109/tnn.2002.1031947 pmid:18244512 fatcat:a2ea5nfnczgjlpwsbwe6ebt5hi

Mining interesting knowledge from weblogs: a survey

Federico Michele Facca, Pier Luca Lanzi
2005 Data & Knowledge Engineering  
Web Usage Mining is that area of Web Mining which deals with the extraction of interesting knowledge from logging information produced by Web servers.  ...  Acknowledgements This work has been supported by the consortium on discovering knowledge with Inductive Queries (cInQ) [10] , a project funded by the Future and Emerging Technologies arm of the IST Pro  ...  The most common approach is to use cookies to track down the sequence of usersÕ page requests (see [13] for an overview of cookie standards).  ... 
doi:10.1016/j.datak.2004.08.001 fatcat:4xpuxsslq5agleih3ybrnu6ta4

Natural computation for business intelligence from Web usage mining

A. Abraham
2005 Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05)  
Web usage mining attempts to discover useful knowledge from the secondary data obtained from the interactions of the users with the Web.  ...  Web usage mining has become very critical for effective Web site management, creating adaptive Web sites, business and support services, personalization, network traffic flow analysis and so on.  ...  4] ; and linear genetic programming [5] .  ... 
doi:10.1109/synasc.2005.48 dblp:conf/synasc/Abraham05 fatcat:ijrgyis3mjd2riwplhgng7yw7y

Text-learning and related intelligent agents: a survey

D. Mladenic
1999 IEEE Intelligent Systems and their Applications  
So, when putting information on the World Wide Web, each of us can decide what to put there and how to organize it.  ...  A number of systems have emerged for helping users browse the Web, some based on content analysis using mostly text from Web documents, and others relying on other information about document relevancy,  ...  Acknowledgments This work was financially supported by the Slovenian Ministry for Science and Technology.  ... 
doi:10.1109/5254.784084 fatcat:6u562ljgsregjohgj3jqeopaoq

Interface agents: A review of the field [article]

Stuart E. Middleton
2002 arXiv   pre-print
Lastly, an analysis of the machine learning and user modelling techniques used by today's agents is presented.  ...  A history of agent systems from their birth in the 1960's to the current day is described, along with the issues they try to address.  ...  PHOAKS [75] monitors newsgroup articles, and extracts web link recommendations by a set of heuristics. A set of collective recommendations for topics is thus compiled.  ... 
arXiv:cs/0203012v1 fatcat:7nzkypnpcjbczabewdo4ltj6xe

Educational data mining: A survey from 1995 to 2005

C. Romero, S. Ventura
2007 Expert systems with applications  
This paper surveys the application of data mining to traditional educational systems, particular web-based courses, well-known learning content management systems, and adaptive and intelligent web-based  ...  The success of the plentiful work needs much more specialized work in order for educational data mining to become a mature area.  ...  Acknowledgement The authors gratefully acknowledge the financial support provided by the Spanish Department of Research of the Ministry of Science and Technology under TIN2005-08386-C05-02 Project.  ... 
doi:10.1016/j.eswa.2006.04.005 fatcat:sjoj4y6aejfcbowaqgjehesjh4

Data Mining based Soft Computing Skills towards Prevention of Cyber Crimes on the Web

Sayyada Sara
2015 International Journal on Recent and Innovation Trends in Computing and Communication  
Now that information can be utilized for educational, for commercial, for personal, by means of that has a various shapes and structure of its necessity.  ...  Therefore a robust and ideal methodology need to produced for tracing and detecting terror based activities by using traffic content as the auditing of information is being shown These methodologies read  ...  Finally, concluding in Section V. 1.2 World Wide Web Represented by triangles.  Rule induction -The extraction of useful if-the rules from data based on statistical significance.  ... 
doi:10.17762/ijritcc2321-8169.150373 fatcat:m4syfkhfxrhqhdgt5vhjol7cuu
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